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1Report
المؤلفون: Höppner, Sebastiaan, Stripling, Eugen, Baesens, Bart, Broucke, Seppe vanden, Verdonck, Tim
مصطلحات موضوعية: Statistics - Machine Learning, Computer Science - Learning, Statistics - Applications
URL الوصول: http://arxiv.org/abs/1712.08101
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2Academic Journal
المؤلفون: Höppner, Sebastiaan, Stripling, Eugen, Baesens, Bart, Broucke, Seppe vanden, Verdonck, Tim
وصف الملف: text
Relation: https://eprints.soton.ac.uk/427452/1/ProfTree.pdf; Höppner, Sebastiaan, Stripling, Eugen, Baesens, Bart, Broucke, Seppe vanden and Verdonck, Tim (2018) Profit driven decision trees for churn prediction. European Journal of Operational Research. (doi:10.1016/j.ejor.2018.11.072 ).
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3Academic Journal
المؤلفون: Stripling, Eugen, Baesens, Bart, Chizi, Barak, vanden Broucke, Seppe
وصف الملف: text
Relation: https://eprints.soton.ac.uk/422417/1/Stripling2018.pdf; Stripling, Eugen, Baesens, Bart, Chizi, Barak and vanden Broucke, Seppe (2018) Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers’ compensation fraud. Decision Support Systems, 111, 13-26. (doi:10.1016/j.dss.2018.04.001 ).
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4Academic Journal
وصف الملف: text
Relation: https://eprints.soton.ac.uk/421399/1/Profit_Maximizing_Logistic_Model_for_Customer_Churn_Prediction_Using_Genetic_Algorithms.pdf; Stripling, Eugen, vanden Broucke, Seppe, Antonio, Katrien, Baesens, Bart and Snoeck, Monique (2018) Profit maximizing logistic model for customer churn prediction using genetic algorithms. Swarm and Evolutionary Computation, 40, 116-130. (doi:10.1016/j.swevo.2017.10.010 ).
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5Academic Journal
المؤلفون: Höppner, Sebastiaan, Stripling, Eugen, Baesens, Bart, Broucke, Seppe vanden, Verdonck, Tim
المساهمون: BNP
المصدر: European Journal of Operational Research ; volume 284, issue 3, page 920-933 ; ISSN 0377-2217
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6Conference
المؤلفون: Devos, Arnout, Dhondt, Jakob, Stripling, Eugen, Baesens, Bart, Broucke, Seppe Vanden, Sukhatme, Gaurav
Relation: Devos, Arnout, Dhondt, Jakob, Stripling, Eugen, Baesens, Bart, Broucke, Seppe Vanden and Sukhatme, Gaurav (2018) Profit maximizing logistic regression modeling for credit scoring. In 2018 IEEE Data Science Workshop, DSW 2018 - Proceedings. IEEE. pp. 125-129 . (doi:10.1109/DSW.2018.8439113 ).
الاتاحة: https://eprints.soton.ac.uk/423588/
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7Conference
المؤلفون: Haupt, J., Stripling, Eugen, Baesens, Bart, vanden Broucke, Seppe, Lessmann, S.
Relation: Credit Scoring and Credit Control XV Conference location:Edinburgh (Scotland) date:30 August - 1 September 2017; https://lirias.kuleuven.be/handle/123456789/591950
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8Academic Journal
مصطلحات موضوعية: Data mining, Customer churn prediction, Lasso-regularized logistic regression model, Profit-based model evaluation, Real-coded genetic algorithm
وصف الملف: 1132298 bytes; application/pdf
Relation: Swarm and Evolutionary Computation vol:accepted; https://lirias.kuleuven.be/handle/123456789/597043; https://lirias.kuleuven.be/bitstream/123456789/597043/1//SWEVO_ProfLogit_Final_Submission.pdf
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9Conference
المصدر: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ; page 1-10
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10Academic Journal